Sentiment analysis of Facebook data using Hadoop based open source ...
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The recent advances in open source software technologies in the map reducing paradigm opens up a whole new opportunity for such advanced analytics. This paper ...
The use of open source technologies for brand sentiment analysis from Facebook data is illustrated and a whole new opportunity for advanced analytics is ...
... Extract sentiment using codes and hashtags using a modern, business-friendly approach to big data that is powerful and scalable. (Dasgupta et al., ...
Mentioning: 9 - Sentiment analysis of Facebook data using Hadoop based open source technologies - Dasgupta, Sudipto Shankar, Natarajan, S., Kaipa, ...
In this paper, we firstly introduce the definition of sentiment analysis as well as Hadoop and describe the Hadoop architecture, then focus on the analysis of ...
Jun 30, 2023 · Abstract. With its simplified concept reflecting a vast amount of complex data that exceeds the capacity of traditional software and computer ...
Bibliographic details on Sentiment analysis of Facebook data using Hadoop based open source technologies.
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With its simplified concept reflecting a vast amount of complex data that exceeds the capacity of traditional software and computer mechanisms to hold, ...
Oct 22, 2024 · In this paper, we have used the linguistic process, NLP (Natural Language Processing) i.e., text opinion about the post/job. Using Sentiment ...
Sentiment analysis greatly helps us in knowing the customer behavior. The biggest challenge is to process the social data which are in unstructured or semi- ...